Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, 60637, USA.
Institute for Genomics and Systems Biology, The University of Chicago, Chicago, IL, 60637, USA.
Nat Commun. 2020 Oct 19;11(1):5271. doi: 10.1038/s41467-020-19058-4.
Three-dimensional (3D) cell culture technologies, such as organoids, are physiologically relevant models for basic and clinical applications. Automated microfluidics offers advantages in high-throughput and precision analysis of cells but is not yet compatible with organoids. Here, we present an automated, high-throughput, microfluidic 3D organoid culture and analysis system to facilitate preclinical research and personalized therapies. Our system provides combinatorial and dynamic drug treatments to hundreds of cultures and enables real-time analysis of organoids. We validate our system by performing individual, combinatorial, and sequential drug screens on human-derived pancreatic tumor organoids. We observe significant differences in the response of individual patient-based organoids to drug treatments and find that temporally-modified drug treatments can be more effective than constant-dose monotherapy or combination therapy in vitro. This integrated platform advances organoids models to screen and mirror real patient treatment courses with potential to facilitate treatment decisions for personalized therapy.
三维(3D)细胞培养技术,如类器官,是基础和临床应用中具有生理相关性的模型。自动化微流控技术在高通量和细胞精密分析方面具有优势,但与类器官还不兼容。在这里,我们提出了一种自动化、高通量、微流控 3D 类器官培养和分析系统,以促进临床前研究和个性化治疗。我们的系统为数百种培养物提供组合和动态药物处理,并能够实时分析类器官。我们通过对来源于人类的胰腺肿瘤类器官进行个体、组合和序贯药物筛选来验证我们的系统。我们观察到个体患者来源的类器官对药物治疗的反应存在显著差异,并发现时间修饰的药物治疗在体外比持续剂量的单一疗法或联合疗法更有效。这个集成平台推进了类器官模型的发展,以筛选和模拟真实的患者治疗过程,有可能为个性化治疗的治疗决策提供便利。